The annual IEEE Computer Society Global Student Challenge provides an avenue for students worldwide to create innovative solutions to big data problems. This year’s competition, IEEE CS GSC 2021, encourages each individual or team (max three students) to present solutions to pre-determined problem/issue statement of relevance in CS today.
Dr Hoteit is recognized for his pioneering research in ocean modelling, remote sensing, Red Sea eddy dynamics, and the development of new techniques in data assimilation and modelling that have environmental applications of global significance. In the Field of Applied Sciences (area of Engineering Sciences), the Prize is awarded to Dr. Mohamed-Slim Alouini, Distinguished Professor of Electrical and Computer Engineering at King Abdulla University of Science and Technology (KAUST) in Saudi Arabia, for his groundbreaking research in the area of wireless , optical and vehicular communications, including low-power communications for the internet of things, as well as his valuable contribution to the development of the 3G, 4G and satellite systems.
The foundation of building a successful academic career is generally thought to be the pursuit of excellence through specialization. Of course, the cross-disciplinary quest has its important place, but it's often thought of primarily as the fruitful collaboration between specialized entities or experts in particular fields.
The evolving periodicity of the brightness of certain types of stars can now be described mathematically.
Introducing KAUST’s very own "THE FANTASTATISTICS 4." Gaurav Agarwal, Jian Cao, Wanfang Chen, and Yuxiao Li are four Ph.D. alumni from the Statistics program at KAUST. The four students obtained their Ph.D.s last year under the supervision of Professor Ying Sun, Agarwal and Li, and Distinguished Professor Marc Genton, Cao and Chen, respectively.
The statistics used to understand social networks reveal the diversity of functional connections in the brain.
Predicting areas of the Red Sea most susceptible to overheating by the end of the century could help conservation efforts to protect its precious coral reefs.
Large-scale analysis of pedestrian data from three European cities examines how building density and street design influence pedestrian behavior.
KAUST Professor of Statistics Håvard Rue has been honored by the Royal Statistical Society (RSS) for his "substantial and significant contributions in the area of efficient and scalable computational techniques for the data analysts' toolbox."
Gaurav Agarwal, a Ph.D. candidate in statistics and member of KAUST Associate Professor Ying Sun's Environmental Statistics (ES) research group, recently won an American Statistical Association (ASA) Student Paper Award sponsored by the Sections on Computing and Graphics (SCSG). In addition to his ASA SCSG award, Agarwal has also been selected a Distinguished Student Paper Award winner by the Eastern North American Region (ENAR) of the International Biometric Society for his paper titled "Flexible Quantile Contour Estimation for Multivariate Functional Data: Beyond Convexity."
The annual CEMSE Student Research Excellence Awards and Student Academic Accomplishment Awards celebrate the talent and achievements of the Division's students. Awarded around the KAUST Commencement ceremony, the awards are presented in recognition of the academic accomplishments and research impact created by our leading students in the fields of Applied Mathematics and Computer Science (AMCS), Computer Science (CS), Electrical and Computer Engineering (ECE), and Statistics (STAT).
Fifteen KAUST faculty members and one postdoctoral researcher rank among the 2020 Highly Cited Researchers from around the world, according to Clarivate Web of Science Group, a global leader of academic research analytics. The list names individuals whose work accounts for the top 1% of research cited worldwide.
A high-frequency model developed using data from new high-precision rain gauges gives fresh insight into the dynamics of rain and runoff events.
A prediction model that considers multiple landslides over time in a given region may improve the accuracy of early warning systems.
Members of the KAUST American Statistical Association (ASA) student chapter recently came together for the group’s second online meeting held on Tuesday, November 10, 2020. The meeting served as an orientation exercise for new KAUST Statistics (STAT) Program students while also highlighting the shared experience of STAT Ph.D. candidates: Jian Cao, Wanfang Chen, Yuxiao Li, and Gaurav Agarwal.